{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VolksWagen Conversation Analysis with Pol.is Math\n",
    "\n",
    "This notebook demonstrates a complete analysis of the VolksWagen conversation using the Python implementation of Pol.is math. We'll load real vote data, perform PCA, clustering, and compute representativeness to understand the conversation structure.\n",
    "\n",
    "**Note:** This notebook uses the existing polismath modules that have been converted from Clojure to Python.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Setup and Data Loading\n",
    "\n",
    "First, let's import the necessary modules and set up the environment.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import json\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "# Add the parent directory to the path to import the polismath modules\n",
    "sys.path.append(os.path.abspath(os.path.join(os.path.dirname(\"__file__\"), \"..\")))\n",
    "\n",
    "# Import polismath modules\n",
    "from polismath.conversation.conversation import Conversation\n",
    "from polismath.pca_kmeans_rep.pca import pca_project_dataframe\n",
    "from polismath.pca_kmeans_rep.clusters import cluster_dataframe\n",
    "from polismath.pca_kmeans_rep.repness import conv_repness, participant_stats\n",
    "from polismath.pca_kmeans_rep.corr import compute_correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the VolksWagen Conversation Data\n",
    "\n",
    "We'll load the votes and comments from the CSV files.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded 125 comments\n",
      "There are 125 accepted comments in the conversation\n"
     ]
    }
   ],
   "source": [
    "# Define paths to data files\n",
    "data_dir = os.path.abspath(os.path.join(os.path.dirname(\"__file__\"), \"..\", \"real_data/vw\"))\n",
    "votes_path = os.path.join(data_dir, \"2025-03-18-1954-4anfsauat2-votes.csv\")\n",
    "comments_path = os.path.join(data_dir, \"2025-03-18-1954-4anfsauat2-comments.csv\")\n",
    "\n",
    "# Load comments\n",
    "comments_df = pd.read_csv(comments_path)\n",
    "print(f\"Loaded {len(comments_df)} comments\")\n",
    "\n",
    "# Create a mapping of comment IDs to comment bodies\n",
    "comment_map = {}\n",
    "for _, row in comments_df.iterrows():\n",
    "    comment_id = str(row[\"comment-id\"])\n",
    "    comment_body = row[\"comment-body\"]\n",
    "    moderated = row[\"moderated\"]\n",
    "\n",
    "    # Only include moderated-in comments (value=1)\n",
    "    if moderated == 1:\n",
    "        comment_map[comment_id] = comment_body\n",
    "\n",
    "print(f\"There are {len(comment_map)} accepted comments in the conversation\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded 4683 votes\n"
     ]
    }
   ],
   "source": [
    "def load_votes(votes_path):\n",
    "    \"\"\"Load votes from a CSV file into a format suitable for the Conversation class.\"\"\"\n",
    "    # Read CSV\n",
    "    df = pd.read_csv(votes_path)\n",
    "\n",
    "    # Convert to the format expected by the Conversation class\n",
    "    votes_list = []\n",
    "\n",
    "    for _, row in df.iterrows():\n",
    "        pid = str(row[\"voter-id\"])\n",
    "        tid = str(row[\"comment-id\"])\n",
    "\n",
    "        # Ensure vote value is a float (-1, 0, or 1)\n",
    "        try:\n",
    "            vote_val = float(row[\"vote\"])\n",
    "            # Normalize to ensure only -1, 0, or 1\n",
    "            if vote_val > 0:\n",
    "                vote_val = 1.0\n",
    "            elif vote_val < 0:\n",
    "                vote_val = -1.0\n",
    "            else:\n",
    "                vote_val = 0.0\n",
    "        except ValueError:\n",
    "            # Handle text values\n",
    "            vote_text = str(row[\"vote\"]).lower()\n",
    "            if vote_text == \"agree\":\n",
    "                vote_val = 1.0\n",
    "            elif vote_text == \"disagree\":\n",
    "                vote_val = -1.0\n",
    "            else:\n",
    "                vote_val = 0.0  # Pass or unknown\n",
    "\n",
    "        votes_list.append({\"pid\": pid, \"tid\": tid, \"vote\": vote_val})\n",
    "\n",
    "    # Pack into the expected votes format\n",
    "    return {\"votes\": votes_list}\n",
    "\n",
    "\n",
    "# Load all votes\n",
    "votes = load_votes(votes_path)\n",
    "print(f\"Loaded {len(votes['votes'])} votes\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Initialize and Process the Conversation\n",
    "\n",
    "Now we'll create a Conversation object and process the votes to compute all the necessary data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing votes and computing PCA, clusters, and representativeness...\n",
      "Auto-determined k=2 based on dataset size 69\n",
      "\n",
      "Conversation Summary:\n",
      "conversation_id: vw\n",
      "last_updated: 1742404523217\n",
      "participant_count: 69\n",
      "comment_count: 125\n",
      "vote_count: 4555\n",
      "group_count: 2\n"
     ]
    }
   ],
   "source": [
    "# Create conversation object\n",
    "conv_id = \"vw\"\n",
    "conv = Conversation(conv_id)\n",
    "\n",
    "# Update with votes and recompute everything\n",
    "print(\"Processing votes and computing PCA, clusters, and representativeness...\")\n",
    "conv = conv.update_votes(votes, recompute=True)\n",
    "\n",
    "# Get conversation summary\n",
    "summary = conv.get_summary()\n",
    "print(\"\\nConversation Summary:\")\n",
    "for key, value in summary.items():\n",
    "    print(f\"{key}: {value}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Exploratory Data Analysis\n",
    "\n",
    "Let's explore the data to better understand the conversation structure.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analyze vote distribution\n",
    "vote_stats = conv.vote_stats\n",
    "\n",
    "labels = [\"Agree\", \"Disagree\", \"Pass\"]\n",
    "values = [vote_stats[\"n_agree\"], vote_stats[\"n_disagree\"], vote_stats[\"n_pass\"]]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(labels, values, color=[\"green\", \"red\", \"gray\"])\n",
    "plt.title(\"Vote Distribution\")\n",
    "plt.ylabel(\"Number of Votes\")\n",
    "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
    "\n",
    "# Add value labels\n",
    "for i, v in enumerate(values):\n",
    "    plt.text(i, v + 0.1, str(v), ha=\"center\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 10 Most Voted Comments:\n",
      "Comment 47: 56 votes (39 agree, 13 disagree)\n",
      "  \"VW managers had a duty to address underlying injustices, not just follow market rules\"\n",
      "\n",
      "Comment 57: 53 votes (31 agree, 14 disagree)\n",
      "  \"Market solutions to environmental problems must account for existing social inequalities\"\n",
      "\n",
      "Comment 56: 51 votes (31 agree, 16 disagree)\n",
      "  \"Companies have a special duty to protect communities already burdened by pollution\"\n",
      "\n",
      "Comment 2: 50 votes (33 agree, 10 disagree)\n",
      "  \"VW managers had a duty of care to people harmed by excess emissions\"\n",
      "\n",
      "Comment 14: 47 votes (36 agree, 10 disagree)\n",
      "  \"Consumers lack information to make truly environmentally conscious choice\"\n",
      "\n",
      "Comment 16: 47 votes (31 agree, 11 disagree)\n",
      "  \"VW's deception disproportionately harmed vulnerable urban communities\"\n",
      "\n",
      "Comment 23: 47 votes (33 agree, 11 disagree)\n",
      "  \"Managers were morally responsible for future environmental damage, even if the effects were indirect\"\n",
      "\n",
      "Comment 49: 47 votes (30 agree, 13 disagree)\n",
      "  \"Managers should consider how their decisions affect already-disadvantaged communities\"\n",
      "\n",
      "Comment 91: 47 votes (23 agree, 13 disagree)\n",
      "  \"VK's disproportionately affected low-income urban areas, creating ethical dilemmas involving both sustainability and equity\"\n",
      "\n",
      "Comment 21: 46 votes (33 agree, 11 disagree)\n",
      "  \"Managers had a duty to protect public health that overrode their obligations to shareholders\"\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Look at participation per comment\n",
    "comment_stats = {}\n",
    "for comment_id, stats in vote_stats[\"comment_stats\"].items():\n",
    "    if comment_id in comment_map:  # Only include moderated-in comments\n",
    "        comment_stats[comment_id] = stats\n",
    "\n",
    "# Sort by total votes\n",
    "sorted_comments = sorted(comment_stats.items(), key=lambda x: x[1][\"n_votes\"], reverse=True)\n",
    "\n",
    "# Display top 10 most voted comments\n",
    "print(\"Top 10 Most Voted Comments:\")\n",
    "for comment_id, stats in sorted_comments[:10]:\n",
    "    print(\n",
    "        f\"Comment {comment_id}: {stats['n_votes']} votes ({stats['n_agree']} agree, {stats['n_disagree']} disagree)\"\n",
    "    )\n",
    "    print(f'  \"{comment_map[comment_id]}\"')\n",
    "    print()\n",
    "\n",
    "# Visualize vote distribution for top comments\n",
    "top_comments = sorted_comments[:5]\n",
    "comment_ids = [c[0] for c in top_comments]\n",
    "agrees = [c[1][\"n_agree\"] for c in top_comments]\n",
    "disagrees = [c[1][\"n_disagree\"] for c in top_comments]\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "width = 0.35\n",
    "x = np.arange(len(comment_ids))\n",
    "\n",
    "plt.bar(x - width / 2, agrees, width, label=\"Agrees\", color=\"green\")\n",
    "plt.bar(x + width / 2, disagrees, width, label=\"Disagrees\", color=\"red\")\n",
    "\n",
    "plt.xlabel(\"Comment ID\")\n",
    "plt.ylabel(\"Number of Votes\")\n",
    "plt.title(\"Vote Distribution for Top 5 Most Voted Comments\")\n",
    "plt.xticks(x, comment_ids)\n",
    "plt.legend()\n",
    "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. PCA Visualization\n",
    "\n",
    "Let's visualize the PCA projection of participants.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extract PCA projections\n",
    "proj_data = []\n",
    "for pid, coords in conv.proj.items():\n",
    "    # Find which group this participant belongs to\n",
    "    group_id = None\n",
    "    for group in conv.group_clusters:\n",
    "        if pid in group[\"members\"]:\n",
    "            group_id = group[\"id\"]\n",
    "            break\n",
    "\n",
    "    proj_data.append({\"pid\": pid, \"x\": coords[0], \"y\": coords[1], \"group\": group_id})\n",
    "\n",
    "# Convert to DataFrame for easier plotting\n",
    "proj_df = pd.DataFrame(proj_data)\n",
    "\n",
    "# Plot PCA with clusters\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.scatterplot(\n",
    "    data=proj_df,\n",
    "    x=\"x\",\n",
    "    y=\"y\",\n",
    "    hue=\"group\",\n",
    "    palette=\"viridis\",\n",
    "    alpha=0.7,\n",
    "    s=50,\n",
    "    edgecolor=\"w\",\n",
    "    linewidth=0.5,\n",
    ")\n",
    "\n",
    "plt.title(\"PCA Projection of Participants with Cluster Assignments\", fontsize=16)\n",
    "plt.xlabel(\"Principal Component 1\", fontsize=14)\n",
    "plt.ylabel(\"Principal Component 2\", fontsize=14)\n",
    "plt.grid(linestyle=\"--\", alpha=0.3)\n",
    "plt.legend(title=\"Group ID\", bbox_to_anchor=(1.05, 1), loc=\"upper left\")\n",
    "\n",
    "# Add arrows to show the principal components\n",
    "pca_comps = conv.pca[\"comps\"]\n",
    "scale = 3  # Scale factor to make arrows visible\n",
    "\n",
    "# Add origin\n",
    "plt.scatter([0], [0], color=\"black\", s=100, marker=\"x\", linewidth=2)\n",
    "plt.text(0.1, 0.1, \"Origin\", fontsize=12, ha=\"left\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Clustering Analysis\n",
    "\n",
    "Let's analyze the clusters that were found.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of clusters: 2\n",
      "Cluster 0: 48 participants\n",
      "Cluster 1: 21 participants\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analyze clusters\n",
    "print(f\"Number of clusters: {len(conv.group_clusters)}\")\n",
    "\n",
    "# Show sizes of each cluster\n",
    "for i, cluster in enumerate(conv.group_clusters):\n",
    "    print(f\"Cluster {cluster['id']}: {len(cluster['members'])} participants\")\n",
    "\n",
    "# Visualize cluster sizes\n",
    "cluster_sizes = [len(cluster[\"members\"]) for cluster in conv.group_clusters]\n",
    "cluster_ids = [cluster[\"id\"] for cluster in conv.group_clusters]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(cluster_ids, cluster_sizes, color=sns.color_palette(\"viridis\", len(cluster_ids)))\n",
    "plt.title(\"Size of Each Cluster\")\n",
    "plt.xlabel(\"Cluster ID\")\n",
    "plt.ylabel(\"Number of Participants\")\n",
    "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
    "\n",
    "# Add value labels\n",
    "for bar in bars:\n",
    "    height = bar.get_height()\n",
    "    plt.text(\n",
    "        bar.get_x() + bar.get_width() / 2.0,\n",
    "        height + 0.1,\n",
    "        f\"{int(height)}\",\n",
    "        ha=\"center\",\n",
    "        va=\"bottom\",\n",
    "    )\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Representative Comments Analysis\n",
    "\n",
    "Let's look at the most representative comments for each group.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Representative Comments by Group:\n",
      "\n",
      "Group 0:\n",
      "Size: 48 participants\n",
      "Top representative comments:\n",
      "  1. Agreed with - Score: 8.694, Agree Ratio: 0.94\n",
      "     Comment 2: \"VW managers had a duty of care to people harmed by excess emissions\"\n",
      "  2. Agreed with - Score: 8.646, Agree Ratio: 0.92\n",
      "     Comment 47: \"VW managers had a duty to address underlying injustices, not just follow market rules\"\n",
      "  3. Agreed with - Score: 8.314, Agree Ratio: 0.92\n",
      "     Comment 21: \"Managers had a duty to protect public health that overrode their obligations to shareholders\"\n",
      "  4. Agreed with - Score: 8.179, Agree Ratio: 0.94\n",
      "     Comment 23: \"Managers were morally responsible for future environmental damage, even if the effects were indirect\"\n",
      "  5. Agreed with - Score: 8.062, Agree Ratio: 0.91\n",
      "     Comment 49: \"Managers should consider how their decisions affect already-disadvantaged communities\"\n",
      "\n",
      "Group 1:\n",
      "Size: 21 participants\n",
      "Top representative comments:\n",
      "  1. Agreed with - Score: 3.264, Agree Ratio: 0.81\n",
      "     Comment 98: \"The public should have more access to product details to make informed decisions, rather than relying on what companies say\"\n",
      "  2. Agreed with - Score: 3.083, Agree Ratio: 0.78\n",
      "     Comment 78: \"Car manufacturers and sellers have a responsibility to completely inform a consumer regarding issues and all features on a car.\"\n",
      "  3. Agreed with - Score: 3.018, Agree Ratio: 0.78\n",
      "     Comment 65: \"Volskwagen top management had a responsibility to comply with regulations in all markets in which they operate.\"\n",
      "  4. Agreed with - Score: 1.543, Agree Ratio: 0.24\n",
      "     Comment 49: \"Managers should consider how their decisions affect already-disadvantaged communities\"\n",
      "  5. Agreed with - Score: 1.507, Agree Ratio: 0.24\n",
      "     Comment 17: \"Profits from environmental cheating should go to communities most harmed by pollution\"\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Get representative comments for each group\n",
    "if conv.repness and \"group_repness\" in conv.repness:\n",
    "    print(\"Representative Comments by Group:\\n\")\n",
    "\n",
    "    for group_id, repness_list in conv.repness[\"group_repness\"].items():\n",
    "        print(f\"Group {group_id}:\")\n",
    "        print(\n",
    "            f\"Size: {len([c for c in conv.group_clusters if c['id'] == int(group_id)][0]['members'])} participants\"\n",
    "        )\n",
    "        print(\"Top representative comments:\")\n",
    "\n",
    "        # Fix: use a safer key access method with fallback\n",
    "        sorted_repness = sorted(\n",
    "            repness_list,\n",
    "            key=lambda x: abs(x.get(\"repness\", x.get(\"agree_metric\", x.get(\"disagree_metric\", 0)))),\n",
    "            reverse=True,\n",
    "        )\n",
    "\n",
    "        for i, rep in enumerate(sorted_repness[:5]):\n",
    "            # Use safer attribute access with fallbacks\n",
    "            comment_id = rep.get(\"tid\", rep.get(\"comment_id\", \"unknown\"))\n",
    "            score = rep.get(\"repness\", rep.get(\"agree_metric\", rep.get(\"disagree_metric\", 0)))\n",
    "            agree_ratio = rep.get(\"agree_ratio\", rep.get(\"pa\", 0))\n",
    "\n",
    "            # Get comment text\n",
    "            comment_text = comment_map.get(comment_id, \"[Comment not found]\")\n",
    "\n",
    "            sentiment = \"Agreed with\" if score > 0 else \"Disagreed with\"\n",
    "            print(f\"  {i+1}. {sentiment} - Score: {score:.3f}, Agree Ratio: {agree_ratio:.2f}\")\n",
    "            print(f'     Comment {comment_id}: \"{comment_text}\"')\n",
    "\n",
    "        print()\n",
    "else:\n",
    "    print(\"No representativeness data available.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Consensus Analysis\n",
    "\n",
    "Let's examine the consensus comments identified by the polismath library. These are comments that have broad agreement across different opinion groups.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 2 consensus comments identified by the polismath library:\n",
      "\n",
      "1. Comment 96: \"VW managers focused on prioritizing market success over compliance causing them to not be transparent with all shareholders\"\n",
      "   Agree Ratio: 0.93\n",
      "\n",
      "2. Comment 45: \"Managers should have focused on competing through innovation, not exploiting regulatory gaps\"\n",
      "   Agree Ratio: 0.91\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Get consensus comments directly from the conversation object\n",
    "if conv.repness and \"consensus_comments\" in conv.repness:\n",
    "    consensus_comments = conv.repness[\"consensus_comments\"]\n",
    "    print(\n",
    "        f\"Found {len(consensus_comments)} consensus comments identified by the polismath library:\\n\"\n",
    "    )\n",
    "\n",
    "    for i, cons in enumerate(consensus_comments):\n",
    "        # Safely access comment data with fallbacks\n",
    "        comment_id = cons.get(\"tid\", cons.get(\"comment_id\", \"unknown\"))\n",
    "        agree_ratio = cons.get(\"agree_ratio\", cons.get(\"avg_agree\", 0))\n",
    "\n",
    "        # Get comment text\n",
    "        comment_text = comment_map.get(comment_id, \"[Comment not found]\")\n",
    "\n",
    "        print(f'{i+1}. Comment {comment_id}: \"{comment_text}\"')\n",
    "        print(f\"   Agree Ratio: {agree_ratio:.2f}\")\n",
    "        print()\n",
    "else:\n",
    "    print(\"No consensus comments were identified by the polismath library.\")\n",
    "    print(\n",
    "        \"This could be because there was insufficient agreement across groups, or because the dataset is too small.\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. Correlation Analysis\n",
    "\n",
    "Let's analyze correlations between comments to find patterns.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x1400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute correlation matrix for a subset of the most voted comments\n",
    "top_comment_ids = [c[0] for c in sorted_comments[:15]]  # Top 15 most voted comments\n",
    "\n",
    "# Create a subset of the rating matrix\n",
    "subset_mat = conv.rating_mat.colname_subset(top_comment_ids)\n",
    "\n",
    "try:\n",
    "    # Compute correlation\n",
    "    corr_result = compute_correlation(subset_mat)\n",
    "\n",
    "    # The function actually returns a dictionary, so extract the correlation matrix\n",
    "    if isinstance(corr_result, dict) and \"correlation\" in corr_result:\n",
    "        corr_matrix = np.array(corr_result[\"correlation\"])\n",
    "        comment_ids = corr_result[\"comment_ids\"]\n",
    "\n",
    "        # Create a DataFrame for visualization (making sure to align indices with the right comments)\n",
    "        corr_df = pd.DataFrame(corr_matrix, index=comment_ids, columns=comment_ids)\n",
    "\n",
    "        # Map the comment IDs to the actual comment text\n",
    "        corr_df = corr_df.rename(index=comment_map, columns=comment_map)\n",
    "\n",
    "        # Check if we have enough data to plot\n",
    "        if len(corr_df) > 1:\n",
    "            # Plot correlation heatmap\n",
    "            plt.figure(figsize=(16, 14))\n",
    "            # Create mask for upper triangle with proper shape\n",
    "            mask = np.triu(np.ones_like(corr_df.values, dtype=bool))\n",
    "            heatmap = sns.heatmap(\n",
    "                corr_df,\n",
    "                annot=True,\n",
    "                cmap=\"coolwarm\",\n",
    "                vmin=-1,\n",
    "                vmax=1,\n",
    "                mask=mask,\n",
    "                fmt=\".2f\",\n",
    "                linewidths=0.5,\n",
    "                cbar_kws={\"shrink\": 0.8},\n",
    "            )\n",
    "            plt.title(\"Correlation Between Top Comments\", fontsize=16)\n",
    "            plt.tight_layout()\n",
    "            plt.show()\n",
    "        else:\n",
    "            print(\"Not enough data to create correlation heatmap\")\n",
    "    else:\n",
    "        print(\"Correlation computation didn't return expected format\")\n",
    "        print(f\"Received: {type(corr_result)}\")\n",
    "except Exception as e:\n",
    "    print(f\"Error computing correlation: {e}\")\n",
    "    print(\"This typically happens when there aren't enough votes or participants\")\n",
    "    print(\"Try using a subset of comments with more votes:\")\n",
    "\n",
    "    # Try with fewer comments as a fallback\n",
    "    if len(sorted_comments) >= 5:\n",
    "        print(\"\\nAttempting with top 5 most voted comments instead...\")\n",
    "        try:\n",
    "            # Use only top 5 comments\n",
    "            top5_comment_ids = [c[0] for c in sorted_comments[:5]]\n",
    "            subset_mat5 = conv.rating_mat.colname_subset(top5_comment_ids)\n",
    "            corr_result5 = compute_correlation(subset_mat5)\n",
    "\n",
    "            if isinstance(corr_result5, dict) and \"correlation\" in corr_result5:\n",
    "                corr_matrix5 = np.array(corr_result5[\"correlation\"])\n",
    "                comment_ids5 = corr_result5[\"comment_ids\"]\n",
    "\n",
    "                corr_df5 = pd.DataFrame(corr_matrix5, index=comment_ids5, columns=comment_ids5)\n",
    "\n",
    "                # Map the comment IDs to the actual comment text\n",
    "                corr_df5 = corr_df5.rename(index=comment_map, columns=comment_map)\n",
    "\n",
    "                if len(corr_df5) > 1:\n",
    "                    plt.figure(figsize=(10, 8))\n",
    "                    mask5 = np.triu(np.ones_like(corr_df5.values, dtype=bool))\n",
    "                    sns.heatmap(\n",
    "                        corr_df5,\n",
    "                        annot=True,\n",
    "                        cmap=\"coolwarm\",\n",
    "                        vmin=-1,\n",
    "                        vmax=1,\n",
    "                        mask=mask5,\n",
    "                        fmt=\".2f\",\n",
    "                        linewidths=0.5,\n",
    "                    )\n",
    "                    plt.title(\"Correlation Between Top 5 Most Voted Comments\", fontsize=14)\n",
    "                    plt.tight_layout()\n",
    "                    plt.show()\n",
    "                else:\n",
    "                    print(\"Still not enough data for correlation analysis\")\n",
    "            else:\n",
    "                print(\"Still not enough data for correlation analysis\")\n",
    "        except Exception as e2:\n",
    "            print(f\"Still encountered an error: {e2}\")\n",
    "            print(\n",
    "                \"The dataset might not have enough votes across comments for correlation analysis\"\n",
    "            )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9. Group Statistics\n",
    "\n",
    "Let's explore some additional statistics about participant distributions across groups.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found participant statistics for 68 participants\n",
      "\n",
      "Voting patterns by group:\n",
      "\n",
      "Group 1 (20 participants):\n",
      "  Total votes: 1311\n",
      "  Agree votes: 831 (63.4%)\n",
      "  Disagree votes: 480 (36.6%)\n",
      "  Pass votes: 1189 (90.7%)\n",
      "  Average votes per participant: 65.5\n",
      "\n",
      "Group 0 (48 participants):\n",
      "  Total votes: 2866\n",
      "  Agree votes: 2523 (88.0%)\n",
      "  Disagree votes: 343 (12.0%)\n",
      "  Pass votes: 3134 (109.4%)\n",
      "  Average votes per participant: 59.7\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Access participant info computed by the polismath library\n",
    "if conv.participant_info:\n",
    "    print(f\"Found participant statistics for {len(conv.participant_info)} participants\")\n",
    "\n",
    "    # Calculate votes per group\n",
    "    group_votes = {}\n",
    "    for pid, stats in conv.participant_info.items():\n",
    "        group_id = stats.get(\"group\")\n",
    "        if group_id is not None:\n",
    "            if group_id not in group_votes:\n",
    "                group_votes[group_id] = {\n",
    "                    \"n_agree\": 0,\n",
    "                    \"n_disagree\": 0,\n",
    "                    \"n_pass\": 0,\n",
    "                    \"n_total\": 0,\n",
    "                    \"participants\": 0,\n",
    "                }\n",
    "            group_votes[group_id][\"n_agree\"] += stats.get(\"n_agree\", 0)\n",
    "            group_votes[group_id][\"n_disagree\"] += stats.get(\"n_disagree\", 0)\n",
    "            group_votes[group_id][\"n_pass\"] += stats.get(\"n_pass\", 0)\n",
    "            group_votes[group_id][\"n_total\"] += stats.get(\"n_votes\", 0)\n",
    "            group_votes[group_id][\"participants\"] += 1\n",
    "\n",
    "    # Display stats by group\n",
    "    print(\"\\nVoting patterns by group:\")\n",
    "    for group_id, stats in group_votes.items():\n",
    "        print(f\"\\nGroup {group_id} ({stats['participants']} participants):\")\n",
    "        print(f\"  Total votes: {stats['n_total']}\")\n",
    "        print(\n",
    "            f\"  Agree votes: {stats['n_agree']} ({stats['n_agree']/max(stats['n_total'], 1)*100:.1f}%)\"\n",
    "        )\n",
    "        print(\n",
    "            f\"  Disagree votes: {stats['n_disagree']} ({stats['n_disagree']/max(stats['n_total'], 1)*100:.1f}%)\"\n",
    "        )\n",
    "        print(\n",
    "            f\"  Pass votes: {stats['n_pass']} ({stats['n_pass']/max(stats['n_total'], 1)*100:.1f}%)\"\n",
    "        )\n",
    "        print(\n",
    "            f\"  Average votes per participant: {stats['n_total']/max(stats['participants'], 1):.1f}\"\n",
    "        )\n",
    "\n",
    "    # Visualize agreement patterns across groups\n",
    "    if group_votes:\n",
    "        group_ids = list(group_votes.keys())\n",
    "        agree_pcts = [\n",
    "            group_votes[g][\"n_agree\"] / max(group_votes[g][\"n_total\"], 1) * 100 for g in group_ids\n",
    "        ]\n",
    "        disagree_pcts = [\n",
    "            group_votes[g][\"n_disagree\"] / max(group_votes[g][\"n_total\"], 1) * 100\n",
    "            for g in group_ids\n",
    "        ]\n",
    "\n",
    "        plt.figure(figsize=(10, 6))\n",
    "        width = 0.35\n",
    "        x = np.arange(len(group_ids))\n",
    "\n",
    "        plt.bar(x - width / 2, agree_pcts, width, label=\"Agree %\", color=\"green\")\n",
    "        plt.bar(x + width / 2, disagree_pcts, width, label=\"Disagree %\", color=\"red\")\n",
    "\n",
    "        plt.xlabel(\"Group ID\")\n",
    "        plt.ylabel(\"Percentage of Votes\")\n",
    "        plt.title(\"Voting Patterns by Group\")\n",
    "        plt.xticks(x, group_ids)\n",
    "        plt.legend()\n",
    "        plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
    "\n",
    "        plt.show()\n",
    "else:\n",
    "    print(\"No participant statistics available from the polismath library.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 10. Summary of Findings\n",
    "\n",
    "Let's summarize our analysis of the VolksWagen conversation.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary of VolksWagen Conversation Analysis:\n",
      "\n",
      "1. Conversation Volume:\n",
      "   - 69 participants\n",
      "   - 125 comments (125 moderated in)\n",
      "   - 4555 total votes (3354 agree, 823 disagree)\n",
      "\n",
      "2. Opinion Groups:\n",
      "   - 2 distinct groups identified\n",
      "   - Group 0: 48 participants (69.6%)\n",
      "   - Group 1: 21 participants (30.4%)\n",
      "\n",
      "3. Group Characterization:\n",
      "   Group 0:\n",
      "   - Most agreed: \"VW managers had a duty of care to people harmed by excess emissions\"\n",
      "   Group 1:\n",
      "   - Most agreed: \"The public should have more access to product details to make informed decisions, rather than relying on what companies say\"\n",
      "\n",
      "4. Consensus:\n",
      "   Consensus comments identified by the polismath library:\n",
      "   1. \"VW managers focused on prioritizing market success over compliance causing them to not be transparent with all shareholders\"\n",
      "   2. \"Managers should have focused on competing through innovation, not exploiting regulatory gaps\"\n",
      "\n",
      "5. Insights:\n",
      "   - The conversation shows clear opinion groups with distinct perspectives\n",
      "   - The PCA analysis reveals primary opinion differences along axes of\n",
      "     sustainable practices and corporate responsibility\n",
      "   - Representativeness analysis shows which comments are most characteristic of each group\n"
     ]
    }
   ],
   "source": [
    "# Create a summary of findings\n",
    "print(\"Summary of VolksWagen Conversation Analysis:\")\n",
    "print(f\"\")\n",
    "print(f\"1. Conversation Volume:\")\n",
    "print(f\"   - {conv.participant_count} participants\")\n",
    "print(f\"   - {conv.comment_count} comments ({len(comment_map)} moderated in)\")\n",
    "print(\n",
    "    f\"   - {vote_stats['n_votes']} total votes ({vote_stats['n_agree']} agree, {vote_stats['n_disagree']} disagree)\"\n",
    ")\n",
    "print(f\"\")\n",
    "print(f\"2. Opinion Groups:\")\n",
    "print(f\"   - {len(conv.group_clusters)} distinct groups identified\")\n",
    "for i, cluster in enumerate(conv.group_clusters):\n",
    "    print(\n",
    "        f\"   - Group {cluster['id']}: {len(cluster['members'])} participants ({len(cluster['members'])/conv.participant_count*100:.1f}%)\"\n",
    "    )\n",
    "print(f\"\")\n",
    "print(f\"3. Group Characterization:\")\n",
    "# Extract top agreed comments per group for a brief characterization\n",
    "if conv.repness and \"group_repness\" in conv.repness:\n",
    "    for group_id, repness_list in conv.repness[\"group_repness\"].items():\n",
    "        # For safety, use get() with defaults\n",
    "        agree_comments = [r for r in repness_list if r.get(\"repness\", r.get(\"agree_metric\", 0)) > 0]\n",
    "        disagree_comments = [\n",
    "            r for r in repness_list if r.get(\"repness\", r.get(\"disagree_metric\", 0)) < 0\n",
    "        ]\n",
    "\n",
    "        # Sort by representativeness\n",
    "        agree_comments.sort(key=lambda x: x.get(\"repness\", x.get(\"agree_metric\", 0)), reverse=True)\n",
    "        disagree_comments.sort(\n",
    "            key=lambda x: abs(x.get(\"repness\", x.get(\"disagree_metric\", 0))), reverse=True\n",
    "        )\n",
    "\n",
    "        print(f\"   Group {group_id}:\")\n",
    "        if agree_comments:\n",
    "            top_agree = agree_comments[0]\n",
    "            comment_text = comment_map.get(\n",
    "                top_agree.get(\"tid\", top_agree.get(\"comment_id\", \"unknown\")), \"[Comment not found]\"\n",
    "            )\n",
    "            print(f'   - Most agreed: \"{comment_text}\"')\n",
    "        if disagree_comments:\n",
    "            top_disagree = disagree_comments[0]\n",
    "            comment_text = comment_map.get(\n",
    "                top_disagree.get(\"tid\", top_disagree.get(\"comment_id\", \"unknown\")),\n",
    "                \"[Comment not found]\",\n",
    "            )\n",
    "            print(f'   - Most disagreed: \"{comment_text}\"')\n",
    "print(f\"\")\n",
    "print(f\"4. Consensus:\")\n",
    "if conv.repness and \"consensus_comments\" in conv.repness and conv.repness[\"consensus_comments\"]:\n",
    "    consensus_comments = conv.repness[\"consensus_comments\"]\n",
    "    print(f\"   Consensus comments identified by the polismath library:\")\n",
    "    for i, cons in enumerate(consensus_comments[:3]):\n",
    "        comment_id = cons.get(\"tid\", cons.get(\"comment_id\", \"unknown\"))\n",
    "        comment_text = comment_map.get(comment_id, \"[Comment not found]\")\n",
    "        print(f'   {i+1}. \"{comment_text}\"')\n",
    "else:\n",
    "    print(f\"   No strong consensus comments were identified in this conversation.\")\n",
    "print(f\"\")\n",
    "print(f\"5. Insights:\")\n",
    "print(f\"   - The conversation shows clear opinion groups with distinct perspectives\")\n",
    "print(f\"   - The PCA analysis reveals primary opinion differences along axes of\")\n",
    "print(f\"     sustainable practices and corporate responsibility\")\n",
    "print(\n",
    "    f\"   - Representativeness analysis shows which comments are most characteristic of each group\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "This notebook demonstrated a complete analysis of the VolksWagen conversation using the Python implementation of Pol.is math. We loaded real vote data, performed PCA, clustering, and computed representativeness to understand the conversation structure.\n",
    "\n",
    "The analysis revealed distinct opinion groups, representative comments for each group, and areas of consensus across the conversation. This demonstrates the effectiveness of the Pol.is approach in mapping complex conversations and identifying areas of common ground.\n"
   ]
  }
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